Germany, have developed a new method that makes it possible for the first time to image the three-dimensional shape of ...

On Thursday, Google's sister company, DeepMind, announced it has successfully used artificial intelligence to predict the 3D structures of nearly every catalogued protein known to science.

Research into stopping tumor growth was recently featured in BBC Science Focus Magazine as one of the world's "20 moments in 2020 to be excited about." A compound that activates an enzyme capable of ...

More information: Nabin Giri et al, De novo atomic protein structure modeling for cryoEM density maps using 3D transformer and HMM, Nature Communications (2024). DOI: 10.1038/s41467-024-49647-6 ...

Dill developed it in 1985 to help tackle the “protein-folding problem,” which concerns how the sequence of amino acids in a protein dictates its folded structure. His hydrophobic-polar (HP) ...

Wittenberg purchased the model from A. A. Barker, an employee of Cambridge University Engineering Laboratories, who fabricated the models for sale to interested scientists starting in May 1966 under ...

A model known as ConPLex can predict whether potential drug molecules will interact with specific protein targets, without having to perform the computationally intensive calculation of the ...

Will single-molecule protein ... proteins don’t carry a consistent negative charge—and they have 3D ... Encoding protein information into DNA was also key to the business model ...

A sweet father-son bond inspires tasty new molecule models. ... Each student examined one protein model either by mouth or by hand. ... Visualizing 3D imagery by mouth using candy-like models.

His hydrophobic-polar (HP) protein-folding model treats the 20 amino acids as just two types of subunit, which he likened to different colored beads on a necklace: blue, water-loving beads (polar ...